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Internship Reliability Engineer Jobs in Houston, TX

Huntsman

Mechanical Engineering Intern

Houston, TX

$18 - $24/hr

Our Summer Internship Program is designed for ambitious students who want hands-on experience in ... Support reliability and asset integrity programs * Assist with rotating equipment and fixed ...

Huntsman

Electrical Engineering Intern

Houston, TX · On-site

$18.25 - $23.75/hr

Our Summer Internship Program is designed for ambitious students who want hands-on experience in ... Support electrical reliability and maintenance initiatives * Assist with power distribution and ...

Borusan Mannesman

Automation Engineer

Baytown, TX · On-site

... and supporting reliability improvements across mill operations. The Automation Engineer will ... internships/co-ops in manufacturing strongly preferred) 1.3. Basic understanding of PLCs and ...

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Internship Reliability Engineer information

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How much do internship reliability engineer jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for internship reliability engineer in Houston, TX is $18.44, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.95 per hour, depending on experience, location, and employer.

What does an internship reliability engineer do?

An Internship Reliability Engineer assists in ensuring that products, systems, or processes perform reliably and meet quality standards. Their responsibilities often include collecting and analyzing data, performing failure analysis, supporting maintenance strategies, and working with senior engineers to improve system performance. Interns may also help with root cause investigations and developing reliability tests. This role provides hands-on experience with reliability engineering principles and tools, preparing interns for a future career in the field.

What are the key skills and qualifications needed to thrive as an internship reliability engineer, and why are they important?

To thrive as an Internship Reliability Engineer, you need a solid background in engineering principles, problem-solving, and data analysis, often supported by progress toward a degree in mechanical, electrical, or related engineering fields. Familiarity with reliability analysis tools such as FMEA, Root Cause Analysis, and reliability software (e.g., ReliaSoft) is typically expected. Attention to detail, effective communication, and a proactive attitude are standout soft skills for this role. These competencies are crucial for identifying and mitigating failures, ensuring equipment reliability, and supporting the overall performance of engineering systems.

What is the difference between Internship Reliability Engineer vs Reliability Engineer?

AspectInternship Reliability EngineerReliability Engineer
QualificationsEnrolled in or recent graduate in engineering or related fieldBachelor's or higher in engineering, certifications preferred
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time, professional environment, independent responsibilities
Industry UsageOften in manufacturing, aerospace, or energy sectorsSame industries, with more complex projects
Search IntentEntry-level, internship opportunities, career explorationFull-time career, advanced reliability tasks

The main difference between an Internship Reliability Engineer and a Reliability Engineer is experience level and responsibilities. Internships are designed for students or recent graduates gaining initial industry exposure, while Reliability Engineers are experienced professionals managing complex reliability projects. Internships serve as a stepping stone toward a full Reliability Engineer role.

What kinds of projects and responsibilities can I expect as an internship reliability engineer?

As an Internship Reliability Engineer, you'll typically work on projects focused on improving equipment performance, analyzing failure data, and supporting preventative maintenance activities. You may be tasked with collecting operational data, assisting with root cause analyses, and creating reports to help senior engineers make informed decisions. Collaboration is common; you'll often work closely with operations, maintenance, and engineering teams to implement reliability improvements and learn industry best practices. This role provides valuable hands-on experience and a strong foundation for future engineering positions.
What are the most commonly searched types of Reliability Engineer jobs in Houston, TX? The most popular types of Reliability Engineer jobs in Houston, TX are:
What are popular job titles related to Internship Reliability Engineer jobs in Houston, TX? For Internship Reliability Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Internship Reliability Engineer jobs in Houston, TX look for? The top searched job categories for Internship Reliability Engineer jobs in Houston, TX are:
Internship Reliability Engineer jobs near you
Infographic showing various Internship Reliability Engineer job openings in Houston, TX as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $38,365 per year, or $18.4 per hour.

Data Scientist, Smart Maintenance, & Equipment Reliability

Patterson-UTI

Houston, TX

Other

Re-posted 4 days ago

Patterson-UTI rating

5.0

Company rating: 5.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

80th of 86 rated oil and gas companies

Job description

As a Data Scientist for the Smart Maintenance initiative, you will support the creation of digital twins and predictive job models to reduce operational uncertainty and strengthen uptime during dynamic operations. You will help modernize maintenance and failure workflows to uncover subtle trends that traditional evaluations may miss, helping the company pursue a meaningful asset-life advantage. By moving data automatically across systems and removing reliance on manual reconciliation, you will help build a foundation for real-time maintenance management and total cost of ownership visibility. Your work will empower field teams with consolidated, purpose-built data that transforms every intervention into a precise, closed-loop maintenance event.

Key Responsibilities:

  • Support the development of predictive models and automated tracking tools to help maintenance teams shift from reactive to proactive workflows.  

  • Assist in the integration of equipment telemetry and various data streams into modeling frameworks to improve lifecycle management.  

  • Help build and test internal AI-driven tools and trend models to streamline technical troubleshooting and root cause analysis.  

  • Contribute to the development of cost-visibility models to track equipment spend and total cost of ownership at different fleet levels.  

  • Assist in the rationalization and optimization of equipment alarm systems to improve alert quality and reduce operational noise.  

  • Monitor the impact of system alerts to help transition toward actionable, condition-based maintenance strategies.  

  • Support data integrity efforts by helping to link information across disparate internal systems and work order platforms.  

  • Collaborate on the design of user-friendly interfaces and digital aids that provide field personnel with accurate equipment history and procedures.  

Job Requirements:

  • Prior experience in equipment reliability, predictive maintenance or physics-based modeling in oil and gas

  • Expert programming skills in Python (SciPy, NumPy) for simulation and model development

  • Strong foundation in reliability engineering methods such as root cause analysis (RCA), alarm management KPIs, and failure mode modeling.

  • Strong communication skills with the ability to explain complex models to non-technical stakeholders

  • Ability to manage multiple priorities and deliver results on time

Minimum Qualifications:

  • Bachelor's degree in Mechanical Engineering, Petroleum Engineering, Data Science or related field

  • 0-5 years of experience applying data science modeling or reliability engineering in industrial settings

  • 2+ years building and deploying data-science algorithms on cloud platforms (AWS, GCP or Azure)

  • A basic understanding of maintenance workflows, work orders, and asset hierarchies is required. 

Preferred Qualifications:

  • Prior internship or project experience involving industrial IoT sensor data and predictive maintenance is preferred.

  • Master's degree or higher in a quantitative engineering or physical science discipline

  • Research publications or patents in equipment reliability, preventative maintenance or related areas

The Evolving Oil Field Demands Evolving Service Providers

NexTier is a leading provider of integrated completions that employs sustainable practices and equipment to support our customers' ESG goals while accelerating production in the most demanding US land basins.

Patterson-UTI is committed to a workplace free from discrimination and harassment, offering equal employment opportunities to all individuals regardless of personal characteristics protected by law. Employees are encouraged to report any concerns through multiple channels.


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